class_docstr: A class for checking if a neural network satisfies constraints. 
docstr: Checks if the constraints are satisfied for the given nn. 
docstr_tok: ["Checks","if","the","constraints","are","satisfied","for","the","given","nn","."]
code: def __call__(self, nn, *args, **kwargs):
      """Checks if the constraints are satisfied for the given nn."""
      return self.constraints_are_satisfied(nn, *args, **kwargs)
  
imports: import numpy
  from copy import copy
  from ..exd.domains import Domain
label_desc: Use image node_id 2 for calling the NNConstraintChecker obj's underlying member method code with example usage: obj.__call__(nn) and returns: self